News Focus
News Focus
icon url

tikotiko

07/24/20 11:51 PM

#98197 RE: iddrisw #98179

Thank you so much, this is very good stuff!

I think I can follow your instructions and I may try to play a bit with Excel during the waiting period prior to the announcement of results. Your random generation step is in essence a Montecarlo type stochastic approach, which I have previously used in my field (Civil Engineering). Most important, your results show that Leronlimab has a good chance to show statistical significance in efficacy, which is golden! I realize that these are only simulations and not the real results, but I think we can speculate that the indication is positive and the future looks quite bright.

One last question, did you use any other statistical software besides this one that you posted?

https://select-statistics.co.uk/calculators/two-sample-t-test-calculator/


Many thanks again and please keep sharing. This forum benefits from people with many types of experience and expertise. I feel fortunate to be part of it.

A good weekend to you and all here!
icon url

tikotiko

07/25/20 12:38 PM

#98289 RE: iddrisw #98179

Hi iddrisw, Boreal and I also shared some thoughts about the statistics, which you can read. His approach is different but also useful. I suspect that both methods lead to similar answers. One think to ask you is if you calculated endpoint differences the same way he did, which is based on the trial protocol and he described yesterday. In other words, did your random number generator provide ranges from negative to positive as Boreal stated or can it be modified if it didn’t? This would be helpful to know if both methods are consistent.
Thanks